Risk Analyst

Role Overview

We are hiring our first  Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions – including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up.

Key Responsibilities

• Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.

• Take action to resolve automatically flagged transactions and individuals

• File suspicious activity reports as required 

• Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.

• Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.

• Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.

• Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.

• Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.

• Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.

• Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.

• Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.

• Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.

Qualifications

• Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.

• 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.

• Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).

• Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.

• Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.

• Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.

• Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.

Preferred Qualifications

• Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.

• Experience with machine learning models for fraud detection and predictive analytics.

• Familiarity with incident response protocols and risk mitigation frameworks in financial services.

• Prior experience in a fast-paced startup or scaling fintech environment.